~/lightning

Lightning Talk: Leveraging Kubeflow for Next-Generation AI Healthcare Solutions

Lightningat Kubeflow Summit Europe 2024 · on Tuesday, 2024-03-19· at 17:05· Pavilion 7 | Level 7.3 | Room S02· [machine-learning, kubernetes]
links:none on file
slides:none on file

Roche describes a Kubeflow-based mlops platform that actually runs drug discovery predictors at scale using Kubeflow, Knative, Helm and Argo CD, plus an inner-source Kubeflow distribution and an mlops SDK and CLI. The platform serves over 100 predictor endpoints, retrain hundreds to thousands models daily, hits 100% success rate for inference at 1M predictions/minute with 2–25 ms latency per molecule, and uses autoscaling patterns to meet peak demand.

AI-written summary · about

  1. 0:00Introduction and background
  2. 2:58Platform requirements
  3. 5:40Kubeflow as a solution
  4. 7:48Performance and architecture
  5. 10:38MLOps skateboard model
  6. 12:31Collaboration and future
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